from flask import Flask, request, jsonify
import pandas as pd
from itertools import combinations

app = Flask(__name__)

# 加载模型
frequent_itemsets = pd.read_pickle('./frequent_itemsets.pkl')
rules = pd.read_pickle('./rules.pkl')

@app.route("/recommend", methods=['POST'])
def recommend():
    # 接收传过来的参数
    data = request.json.get('items', [])

    # 生成关联规则推荐
    recommendations = []
    for idx, rule in rules.iterrows():
        antecedents = list(rule['antecedents'])
        consequents = list(rule['consequents'])
        # 检查规则前件是否跟输入匹配
        if set(antecedents).issubset(set(data)):
            recommendations.extend(consequents)

    # 去重并返回结果
    recommendations = list(set(recommendations) - set(data))
    return jsonify({"recommendations": recommendations})

if __name__ == "__main__":
    app.run()